video.bib 1.4 KB

1234567891011121314151617181920212223242526272829303132333435363738394041424344
  1. @article{AAM,
  2. title={Adaptive appearance modeling for video tracking: survey and evaluation},
  3. author={Salti, Samuele and Cavallaro, Andrea and Di Stefano, Luigi},
  4. journal={Image Processing, IEEE Transactions on},
  5. volume={21},
  6. number={10},
  7. pages={4334--4348},
  8. year={2012},
  9. publisher={IEEE}
  10. }
  11. @article{AMVOT,
  12. title={A survey of appearance models in visual object tracking},
  13. author={Li, Xi and Hu, Weiming and Shen, Chunhua and Zhang, Zhongfei and Dick, Anthony and Hengel, Anton Van Den},
  14. journal={ACM Transactions on Intelligent Systems and Technology (TIST)},
  15. volume={4},
  16. number={4},
  17. pages={58},
  18. year={2013},
  19. publisher={ACM}
  20. }
  21. @inproceedings{GOTURN,
  22. title={Learning to Track at 100 FPS with Deep Regression Networks},
  23. author={Held, David and Thrun, Sebastian and Savarese, Silvio},
  24. booktitle={European Conference Computer Vision (ECCV)},
  25. year={2016}
  26. }
  27. @inproceedings{Kroeger2016,
  28. author={Till Kroeger and Radu Timofte and Dengxin Dai and Luc Van Gool},
  29. title={Fast Optical Flow using Dense Inverse Search},
  30. booktitle={Proceedings of the European Conference on Computer Vision ({ECCV})},
  31. year={2016}
  32. }
  33. @inproceedings{MIL,
  34. title={Visual tracking with online multiple instance learning},
  35. author={Babenko, Boris and Yang, Ming-Hsuan and Belongie, Serge},
  36. booktitle={Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on},
  37. pages={983--990},
  38. year={2009},
  39. organization={IEEE}
  40. }